Sourcing and Bias in the Study of Coups: Lessons from the Middle East

Abstract

Abstract The last two decades have seen an increased focus on reporting bias in large-N datasets. Research on coups d’etat has similarly increased given the availability of coup datasets. This essay argues that while the availability of such data has pushed scholarship forward, the data collection process behind these efforts remains plagued with limitations common to event datasets. Rather than building on what previous projects have accomplished, researchers have invariably developed “new” datasets that suffer from the same problems as earlier efforts. Specifically, we point to reliance on international news sources such as The New York Time and Keesing’s Record of World Events - without the adequate consultation of regional sources and expertise - as a source of concern. We explore this issue by assessing the coverage of coup events from three country cases from the post-colonial Middle East: Syria, Jordan, and Saudi Arabia. Our findings show that while existing data on successful and failed coups are largely adequate, scholars interested in coup plots and rumors will require a wider breadth of source material to identify such cases.